Alternatives to Innotescus

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality. Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset. Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Intel® Geti™ offers an intuitive AI development platform that accelerates computer vision model creation by automating data annotation and training tasks. With features like task chaining, smart annotations, and active learning, Geti™ allows users to build models for various AI tasks with minimal data. The platform supports hyperparameter optimization and exports models for Intel® architecture CPUs, GPUs, and VPUs, making it ideal for organizations looking to deploy efficient, scalable computer vision applications.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

Keylabs.ai is an image and video annotation platform built by annotation experts to deliver high-performance data annotation and management features and unique operations management. Its tools have a proven track record of handling large datasets efficiently and accurately. Trusted by global technology leaders, Keylabs.ai combines innovative technology with user-focused design to deliver solutions to projects of any type and size.

Our AI Training Data Platform combines the best of data annotators and computer vision capabilities, with the power of the AI Community of professional annotations. GT Manage: Our proprietary platform manager for our 1M+ community. GT Annotate is our proprietary data annotation software. GT Data: Our global expertise for data collection and creation. Human-powered AI is the foundation of all AI. Our fully automated platform allows sophisticated data annotation across data types, all within the same software. It also provides seamless project and AI Community Management. Ground Truth (GT Annotate) is our proprietary software for data annotation. It was carefully designed to allow teams to create quality AI training datasets quickly and accurately. Below are some examples of how the technology is used.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Labellerr is an advanced data annotation platform that streamlines the creation of high-quality labeled datasets for AI and machine learning applications. It supports a variety of data formats, including images, videos, text, PDFs, and audio, making it adaptable for different industries. The platform leverages AI-powered automation, such as model-assisted labeling and active learning, to significantly speed up the annotation process while maintaining accuracy. Labellerr also integrates smart quality assurance tools and detailed analytics to enhance data reliability and reduce human error. For specialized projects, it offers expert-in-the-loop services, providing access to professionals in domains like healthcare, automotive, and finance. The platform is designed for scalability, allowing teams to efficiently manage large datasets while ensuring high annotation quality. With its combination of automation, expert oversight, and user-friendly interface, Labellerr helps businesses accelerate AI model development with precise, well-labeled data.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

Deepen AI offers advanced multisensor data labeling tools and services that accelerate computer vision training, including for autonomous vehicles, robots, and others. Their annotation suite supports a variety of key cases including 2D and 3-dimensional bounding boxes, instance segmentation and semantic segmentation, polylines and key points. The platform is AI powered, with pre-labeling features that can automatically label 80 common classes. This increases productivity by sevenfold. It also features machine learning-assisted object segmentation that allows users to segment objects in just a few mouse clicks. Accurate object detection and tracking between frames is also included to save time and avoid duplication of effort. Deepen AI's calibrating suite supports all major sensor types such as LiDAR cameras, radars, IMUs, and vehicle sensors. The tools allow for seamless visualization and inspections of multi-sensor data, and calculation of intrinsic or extrinsic parameters in seconds.

With Automaton AI's ADVIT, users can effortlessly create, manage, and enhance high-quality training data alongside DNN models, all within a single platform. The tool automatically optimizes data and prepares it for various stages of the computer vision pipeline. It also automates data labeling and simplifies in-house data pipelines. Users can handle both structured and unstructured datasets, including video, image, and text, while performing automatic functions that refine data for each phase of the deep learning process. Once data is accurately labeled and undergoes quality assurance, users can initiate their own model training. DNN training requires hyperparameter adjustments, such as batch size and learning rate, to maximize efficiency. Additionally, the platform supports optimization and transfer learning on existing models to enhance overall accuracy. After training, users can seamlessly deploy their models into production. ADVIT also provides model versioning capabilities, allowing for real-time tracking of development and accuracy metrics. By utilizing a pre-trained DNN model for auto-labeling, users can further improve their model's accuracy, ensuring optimal outcomes throughout the entire machine learning lifecycle. This comprehensive solution not only streamlines the development process but also empowers users to achieve remarkable results in their projects.

Anolytics specializes in providing data annotation services for images, videos, and text specifically tailored for machine learning and AI-driven computer vision applications. Their affordable annotation solutions support the development of machine learning and artificial intelligence models while ensuring high accuracy and quality in the data provided. Utilizing a variety of annotation techniques, Anolytics delivers meticulously annotated datasets in text, images, and videos. Their expertise lies in Image Annotation, Video Annotation, and Text Annotation, consistently achieving the highest levels of precision. Furthermore, Anolytics offers a comprehensive suite of data annotation services, essential for training in both machine learning and deep learning projects. This includes specialized techniques such as Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation, and 3D Cuboid Annotation, relevant across various industries such as healthcare, autonomous driving, drone technology, retail, security surveillance, and agriculture. With a commitment to scalability, Anolytics provides timely solutions at competitive prices for clients worldwide, making them a go-to partner for cutting-edge data annotation needs. Their focus on customer satisfaction and quality assurance sets them apart in the rapidly evolving landscape of AI and machine learning.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

Support for various types of annotations, both on images and videos. Open-source, scalable web annotation tool. Support for simple "click and dragging" actions, and options to add more attributes. Features include the ability to copy boundaries and fit boundaries using Bezier curves. Mark the area where the driver is driving. Annotate lane markings for vision-based vehicle location and trajectory planning. Four-click method that is intuitive and accurate to encapsulate the objects of interest. Predict annotations using object tracking algorithm and interpolation algorithm to bounding boxes. Annotation prediction for object instances. Tracking features for 2D objects are now available in 3D.

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

Our company is the premier provider of data labeling services in AI. We cover industries like Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance. With over 500+ annotation gurus and multilingual support, we provide efficient and accurate services for both enterprise and R&D projects. Our range of services includes Computer Vision and NLP annotation, data processing, and more. Choose Label Your Data for unparalleled quality of your training datasets. Our top priority is to ensure the security and quality of client's data. To ensure the confidentiality of client data, our facilities and teams have been certified by ISO 27001 and PCI DSS (level 1). We adhere to the most important industry security standards, such as GDPR and CCPA.

We offer the highest quality SLA (>95%) even for the most complicated workflows. Our team can assist with everything from the implementation of a solid quality rubric to raising edge case. We are an ethical AI company that has provided economic opportunities to over 52,000 people in underserved and marginalized areas. ML Assisted annotation allowed for efficiency improvements of up to 3-4x per class annotation. We are able to quickly adapt to ramp-ups and focus shifts. Secure work environments are ensured by ISO-certified delivery centers, biometric authentication, 2FA user authentication, and ISO-certified delivery centers. You can quickly re-prioritize tasks, give quality feedback, and monitor production models. All data types are supported. You can do more with less. We combine machine learning with humans to filter data and select images that are relevant to your use cases. Based on your initial guidelines, you will receive sample results. We will work with you to identify and recommend best annotation practices.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

Segments.ai provides a robust solution for labeling multi-sensor data, combining 2D and 3D point cloud labeling into a unified interface. It offers powerful features like automated object tracking, smart cuboid propagation, and real-time interpolation, allowing users to label complex data more quickly and accurately. The platform is optimized for robotics, autonomous vehicle, and other sensor-heavy industries, enabling users to annotate data in a more streamlined way. By fusing 3D data with 2D images, Segments.ai enhances labeling efficiency and ensures high-quality data for model training.

The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.

Expand the platform to include annotation for segmentation. The Zastra repository will include algorithms that support segmentation to enable active learning of datasets. End-to-end ML opsversion control for datasets / experimental and templated pipelines to enable deployment of the model to standard cloud-based environments as well as the Edge. Bayesian deep learning advances are integrated into the active learning framework. Bayesian CNN is a specialized architecture that improves the quality of annotations. This breakthrough solution was created by our experts who have spent many hours working with you. We are still adding new features to the platform but we couldn't wait for you to take it for a spin! Active-Learning based object detection, classification, segmentation, localization, as well as object detection are some of Zastra's key capabilities. This is possible for images, text, audio, and point cloud data.

Enhance your annotation process with CVAT, the premier data engine for machine learning that is relied upon by teams of all sizes and for datasets of any magnitude. Featuring a lightning-fast and user-friendly interface crafted in collaboration with actual teams tackling real-world challenges, CVAT is the go-to choice for ambitious AI innovators across diverse sectors, including healthcare, retail, and autonomous driving. Each day, leading AI teams integrate CVAT into their workflows, ensuring their projects run smoothly regardless of the nature of the input data or the outcomes they aim to achieve. CVAT excels with a variety of formats such as images, videos, and 3D models, offering a wide array of annotation tools including bounding boxes, polygons, points, skeletons, cuboids, and trajectories. Boost your productivity with advanced interactive algorithms like intelligent scissors and histogram equalization, designed to streamline the annotation experience. Additionally, CVAT provides valuable metrics such as annotator working hours and objects annotated per hour, enabling teams to optimize their efforts and achieve better results. With its comprehensive features and flexibility, CVAT stands out as an essential asset for any AI-driven project.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

Amazon SageMaker provides tools for recognizing various types of raw data, including images, text documents, and videos, allowing users to apply useful labels and produce labeled synthetic data, which is essential for developing high-quality training datasets for machine learning (ML) applications. It features two primary solutions: Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, each offering the capability to either utilize an expert workforce for managing data labeling processes or to handle your own labeling workflows. For those who wish to maintain control over their data labeling projects, SageMaker Ground Truth serves as an accessible service that simplifies the labeling process and permits the use of human annotators from platforms like Amazon Mechanical Turk, as well as third-party services or your own team members. Furthermore, this versatility enhances the overall efficiency and accuracy of the data preparation phase, which is crucial for the success of machine learning endeavors.

clickworker is globally the largest open crowd sourcing provider. The company has a huge number of services using a "one to many" approach where your company can use many Clickworkers to achieve the outcome you desire. Most frequently, clickworker provides customized data collection, categorization, evaluation, tagging and annotation services to create AI/ML training data for Data Scientists, and also provides SEO texts, product tags, categories and surveys for online businesses and retailers. clickworker serves most industries and applications using the skills of their 4.0M+ Clickworkers. This crowd gathers data through a wide range of micro-tasks, utilizing a sophisticated crowd-sourcing platform and fully featured mobile app.

Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling

UBIAI's powerful labeling platform makes it easy to quickly train and deploy your NLP model. To train a high-performance model, it is important to preserve the layout of semi-structured text like invoices and contracts. UBIAI's OCR function combines natural language processing with computer vision. It allows you to perform NER and relation extraction on native PDF documents. You can also scan images or photos from your phone and perform classification annotation. This will significantly improve your NLP model performance. UBIAI's text annotation tool allows you to perform named entity recognition (NER), document classification, and relation extraction all from one interface. UBIAI allows you to create multiple relations in nested or overlapping entities, unlike other tools.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

Your AI deserves only the best data. Our unique mobile data platform, Truetag quality control and industry-leading 99% accuracy will take the stress out getting your machine learning datasets onto Tictag. Tictag’s mobile data platform is the first of its kind. It combines a user friendly interface with gamified features to produce high-quality datasets. This is technology enhanced labeling at its finest. Tictag collects and labels complex and intricate datasets with near-100% precision for AI and ML in short turnaround times. Data labeling is now faster and easier than ever. Do it right the first time. Truetag's technology-assisted quality control by Tictag ensures that your data is exactly what you need. Tictag helps people who are looking for a new source of income or a way to improve their skills by supplying them with the data they need.

Innovation lies at the heart of what we do. Cogito supports AI-driven enterprises and business projects by providing an adept team for data annotation, content moderation, and a variety of other data processing services. Our comprehensive data enrichment offerings serve as a one-stop shop for all your data-related requirements. With a blend of scalable and highly experienced professionals, we leverage their expertise to address your needs with remarkable precision and efficiency, all while ensuring complete data security and confidentiality. We are dedicated to Human Empowered Automation. Our goal is to assist customers in driving innovation and growth by addressing their everyday data challenges. By utilizing our on-demand workforce, we collaborate with clients in Artificial Intelligence, Technology, and eCommerce to create high-quality datasets that are essential for developing and refining a range of state-of-the-art business applications. We pride ourselves on delivering cost-effective, extremely accurate, fully scalable, and secure data enrichment solutions tailored for businesses and AI enterprises alike, ensuring our clients can thrive in a competitive landscape. Our commitment to excellence guarantees that we remain a trusted partner in your journey towards success.

Image categorization, bounding box detection, polygon annotation, curve tracing, and 3D positioning. Additionally, video tracking, text categorization, and named entity recognition are supported. Custom task plugins allow users to develop their own labeling tools. Files can be exported in PascalVoc XML format, identical to that used by ImageNet, as well as in CoreNLP format. The platform is compatible with Windows, Mac, CentOS, and Ubuntu operating systems. This versatility ensures that users can seamlessly integrate it into their existing workflows.

Artificio, created by Artificio Products Inc., is a groundbreaking automation solution aimed at transforming the landscape of data processing by removing the need for manual data entry. This advanced software leverages the latest advancements in AI and machine learning to efficiently extract, categorize, verify, and synthesize unstructured data from various formats such as texts, PDFs, and images. By converting disparate unstructured information into manageable structured data, Artificio enables organizations to fully harness the capabilities of digital intelligence, leading to improved decision-making and operational efficiency. Through its innovative approach, it opens up new avenues for businesses to optimize their data management processes.

Nexdata's AI Data Annotation Platform provides a robust solution to meet diverse data annotating needs. It supports a variety of types, including 3D point cloud integration, pixel-level segmentation and speech recognition. It also supports entity relationship, video segmentation, and speech synthesis. The platform has a pre-recognition algorithm that allows for semi-automatic labeling and human-machine interactions, increasing labeling efficiency by 30%. It incorporates multilevel quality inspection management features and supports flexible workflows for task distribution, including package and item-based assignment. Data security is prioritized by multi-role and multi-level authority, template watermarking. Log auditing, login validation, and API authorization. The platform provides flexible deployment options including public cloud deployment to enable rapid, independent system setup and exclusive computing resources.

Effectively oversee the complete AI pipeline, beginning with raw data and culminating in its deployment. Develop tailored models that align closely with your operational needs, providing a strategic edge in the marketplace. Foster a varied AI team capable of constructing and launching AI solutions effortlessly, without requiring coding skills. Implement AI solutions in diverse settings, whether on a manufacturing floor, in space exploration, or anywhere else. Commit to a reliable platform that has been successfully utilized in highly sensitive data environments. Utilize guided workflows to assist you in creating your initial model. Instead of separating enterprise data across various cloud services and hardware, consolidate all assets into a single, well-organized library that enhances ease of discovery for users. This holistic approach not only streamlines processes but also maximizes the potential for innovation and efficiency across your organization.

Annotation solutions that are end to end, scalable and offer high accuracy & speed of turnaround. 2D/3D bounding box, polygons and polylines, landmarks & semantic segmentation to serve use cases from LiDAR to Geo-spatial imagery. Zuru's teams are working on complex computer vision algorithms that have edge cases and taxonomies. Text annotations are available in all major languages, including Bahasa, Cantonese and Hungarian. Experts in linguistic labelling who have annotated over 10 million data points across industries from Retail to BFSI and Healthcare. Zuru's team has done it all, whether it was sophisticated labelling for automation in customer centres, basic transcription or Audio diarization. Multilingual translators & interpreters workforce with a wide range of accents & dialects to help AI teams understand cultural nuances across languages and geographies.

Roora delivers precision-driven data annotation services, offering expert image, video, and text labeling for AI and machine learning applications. With deep industry expertise, Roora specializes in annotations for sectors such as healthcare, automotive, agriculture, and retail. The platform uses a variety of annotation techniques like polygons and keypoints to ensure that AI models are trained with high-quality, contextual data, making it possible for companies to build better object detection, sentiment analysis, and OCR systems.

Toloka AI was founded in 2014 after years spent research and experimentation. It is an open platform for collecting data and annotating it. There are over 20 000+ active monthly performers in over 100+ countries. They speak 40+ languages and generate approximately 80 million data annotations each week. Toloka is used by R&D, banking and autonomous vehicles as well as other organizations to generate machine-learning data at scale. It also harnesses the wisdom of the crowd from all over the globe. Gartner ranked Toloka as one of the most notable data labeling solutions in the market in its Hype Cycle for Data Science & ML report.

Harness data science in order to enhance traditional knowledge and provide better health outcomes without bias for native communities. We're on mission to bridge data science, research, and medicine. We want to create a data science platform that is all-in-one for the medical and research industries. We want to revolutionize these fields with machine learning, generative AI and data science. Our platform allows you to manage, analyze, and classify your photo & videos. Automatically label images, extract insights and generate synthetic data using your work. Coming soon: features for bias detection and community collaboration. We want to create something for the social good. We aim to close the gap in accessibility of technology and ensure that the models we use are free of algorithmic biases, which are commonplace within technology.